Use of sensor data has been increasingly common in recent years, yet there is still a knowledge gap in evaluating the precision of traﬃc sensor data being used in traﬃc analyses for developing a transportation management plan. This paper ﬁlls this gap by exploring a new approach to evaluating the level of precision of large-scale traﬃc sensor data. The proposed analytical framework incorporates a spatiotemporal domain for the purpose of projecting spatiotemporal characteristics of the data into a repeatability and reproducibility (R&R) study. The main ﬁnding of this study is that the proposed framework is eﬀective in examining the precision level of large-scale data spatiotemporally. The proposed framework would be useful for researchers and practitioners to benchmark precision measurements of traﬃc sensor data in a way to gather quality data and avoid any potential biased result of deeper traﬃc analyses.
- transportation planning
- traﬃc sensor data
- precision evaluation
- repeatability and reproducibility
- prototype study